tiramisu_fc_dense103_model.json

{
   "backend": "tensorflow",
   "class_name": "Sequential",
   "keras_version": "2.0.2",
   "config": [
      {
         "class_name": "Conv2D",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               224,
               224,
               3
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_1",
            "filters": 48,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_1",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_1"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_2",
            "filters": 112,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_1"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_2",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_2"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_3",
            "filters": 112,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_2"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_3",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_3"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_4",
            "filters": 112,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_3"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_4",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_4"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_5",
            "filters": 112,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_4"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_5",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_5"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_6",
            "filters": 112,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_5"
         }
      },
      {
         "class_name": "MaxPooling2D",
         "config": {
            "trainable": true,
            "strides": [
               2,
               2
            ],
            "pool_size": [
               2,
               2
            ],
            "name": "max_pooling2d_1",
            "padding": "valid",
            "data_format": "channels_last"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_6",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_6"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_7",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_6"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_7",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_7"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_8",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_7"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_8",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_8"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_9",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_8"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_9",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_9"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_10",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_9"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_10",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_10"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_11",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_10"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_11",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_11"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_12",
            "filters": 192,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_11"
         }
      },
      {
         "class_name": "MaxPooling2D",
         "config": {
            "trainable": true,
            "strides": [
               2,
               2
            ],
            "pool_size": [
               2,
               2
            ],
            "name": "max_pooling2d_2",
            "padding": "valid",
            "data_format": "channels_last"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_12",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_12"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_13",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_12"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_13",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_13"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_14",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_13"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_14",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_14"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_15",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_14"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_15",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_15"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_16",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_15"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_16",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_16"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_17",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_16"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_17",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_17"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_18",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_17"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_18",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_18"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_19",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_18"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_19",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_19"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_20",
            "filters": 304,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_19"
         }
      },
      {
         "class_name": "MaxPooling2D",
         "config": {
            "trainable": true,
            "strides": [
               2,
               2
            ],
            "pool_size": [
               2,
               2
            ],
            "name": "max_pooling2d_3",
            "padding": "valid",
            "data_format": "channels_last"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_20",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_20"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_21",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_20"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_21",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_21"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_22",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_21"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_22",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_22"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_23",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_22"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_23",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_23"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_24",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_23"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_24",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_24"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_25",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_24"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_25",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_25"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_26",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_25"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_26",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_26"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_27",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_26"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_27",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_27"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_28",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_27"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_28",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_28"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_29",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_28"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_29",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_29"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_30",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_29"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_30",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_30"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_31",
            "filters": 464,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_30"
         }
      },
      {
         "class_name": "MaxPooling2D",
         "config": {
            "trainable": true,
            "strides": [
               2,
               2
            ],
            "pool_size": [
               2,
               2
            ],
            "name": "max_pooling2d_4",
            "padding": "valid",
            "data_format": "channels_last"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_31",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_31"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_32",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_31"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_32",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_32"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_33",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_32"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_33",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_33"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_34",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_33"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_34",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_34"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_35",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_34"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_35",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_35"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_36",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_35"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_36",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_36"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_37",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_36"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_37",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_37"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_38",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_37"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_38",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_38"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_39",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_38"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_39",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_39"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_40",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_39"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_40",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_40"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_41",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_40"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_41",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_41"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_42",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_41"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_42",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_42"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_43",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_42"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_43",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_43"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_44",
            "filters": 656,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_43"
         }
      },
      {
         "class_name": "MaxPooling2D",
         "config": {
            "trainable": true,
            "strides": [
               2,
               2
            ],
            "pool_size": [
               2,
               2
            ],
            "name": "max_pooling2d_5",
            "padding": "valid",
            "data_format": "channels_last"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_44",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_44"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_45",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_44"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_45",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_45"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_46",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_45"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_46",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_46"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_47",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_46"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_47",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_47"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_48",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_47"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_48",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_48"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_49",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_48"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_49",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_49"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_50",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_49"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_50",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_50"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_51",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_50"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_51",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_51"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_52",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_51"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_52",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_52"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_53",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_52"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_53",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_53"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_54",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_53"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_54",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_54"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_55",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_54"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_55",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_55"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_56",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_55"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_56",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_56"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_57",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_56"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_57",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_57"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_58",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_57"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_58",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_58"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_59",
            "filters": 896,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_58"
         }
      },
      {
         "class_name": "Conv2DTranspose",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               1088,
               7,
               7
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_transpose_1",
            "filters": 1088,
            "strides": [
               2,
               2
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_59",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_59"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_60",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_59"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_60",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_60"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_61",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_60"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_61",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_61"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_62",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_61"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_62",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_62"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_63",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_62"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_63",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_63"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_64",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_63"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_64",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_64"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_65",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_64"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_65",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_65"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_66",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_65"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_66",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_66"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_67",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_66"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_67",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_67"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_68",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_67"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_68",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_68"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_69",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_68"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_69",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_69"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_70",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_69"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_70",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_70"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_71",
            "filters": 1088,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_70"
         }
      },
      {
         "class_name": "Conv2DTranspose",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               816,
               14,
               14
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_transpose_2",
            "filters": 816,
            "strides": [
               2,
               2
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_71",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_71"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_72",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_71"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_72",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_72"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_73",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_72"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_73",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_73"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_74",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_73"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_74",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_74"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_75",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_74"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_75",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_75"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_76",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_75"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_76",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_76"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_77",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_76"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_77",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_77"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_78",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_77"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_78",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_78"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_79",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_78"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_79",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_79"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_80",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_79"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_80",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_80"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_81",
            "filters": 816,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_80"
         }
      },
      {
         "class_name": "Conv2DTranspose",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               576,
               28,
               28
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_transpose_3",
            "filters": 576,
            "strides": [
               2,
               2
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_81",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_81"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_82",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_81"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_82",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_82"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_83",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_82"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_83",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_83"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_84",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_83"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_84",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_84"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_85",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_84"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_85",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_85"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_86",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_85"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_86",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_86"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_87",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_86"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_87",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_87"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_88",
            "filters": 576,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_87"
         }
      },
      {
         "class_name": "Conv2DTranspose",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               384,
               56,
               56
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_transpose_4",
            "filters": 384,
            "strides": [
               2,
               2
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_88",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_88"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_89",
            "filters": 384,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_88"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_89",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_89"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_90",
            "filters": 384,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_89"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_90",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_90"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_91",
            "filters": 384,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_90"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_91",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_91"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_92",
            "filters": 384,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_91"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_92",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_92"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_93",
            "filters": 384,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_92"
         }
      },
      {
         "class_name": "Conv2DTranspose",
         "config": {
            "activation": "linear",
            "batch_input_shape": [
               null,
               256,
               112,
               112
            ],
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "trainable": true,
            "name": "conv2d_transpose_5",
            "filters": 256,
            "strides": [
               2,
               2
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "dtype": "float32",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_93",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_93"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_94",
            "filters": 256,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_93"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_94",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_94"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_95",
            "filters": 256,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_94"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_95",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_95"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_96",
            "filters": 256,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_95"
         }
      },
      {
         "class_name": "BatchNormalization",
         "config": {
            "trainable": true,
            "gamma_constraint": null,
            "gamma_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "center": true,
            "name": "batch_normalization_96",
            "axis": 1,
            "beta_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_constraint": null,
            "moving_variance_initializer": {
               "class_name": "Ones",
               "config": {}
            },
            "moving_mean_initializer": {
               "class_name": "Zeros",
               "config": {}
            },
            "beta_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "scale": true,
            "epsilon": 0.001,
            "gamma_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "momentum": 0.99
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "relu",
            "name": "activation_96"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": null,
            "kernel_size": [
               3,
               3
            ],
            "name": "conv2d_97",
            "filters": 256,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Dropout",
         "config": {
            "rate": 0.2,
            "trainable": true,
            "name": "dropout_96"
         }
      },
      {
         "class_name": "Conv2D",
         "config": {
            "trainable": true,
            "activation": "linear",
            "bias_constraint": null,
            "kernel_initializer": {
               "class_name": "VarianceScaling",
               "config": {
                  "mode": "fan_in",
                  "distribution": "uniform",
                  "scale": 2.0,
                  "seed": null
               }
            },
            "padding": "same",
            "kernel_regularizer": {
               "class_name": "L1L2",
               "config": {
                  "l1": 0.0,
                  "l2": 9.999999747378752e-05
               }
            },
            "kernel_size": [
               1,
               1
            ],
            "name": "conv2d_98",
            "filters": 12,
            "dilation_rate": [
               1,
               1
            ],
            "strides": [
               1,
               1
            ],
            "use_bias": true,
            "kernel_constraint": null,
            "activity_regularizer": null,
            "data_format": "channels_last",
            "bias_regularizer": null,
            "bias_initializer": {
               "class_name": "Zeros",
               "config": {}
            }
         }
      },
      {
         "class_name": "Reshape",
         "config": {
            "trainable": true,
            "name": "reshape_1",
            "target_shape": [
               12,
               50176
            ]
         }
      },
      {
         "class_name": "Permute",
         "config": {
            "trainable": true,
            "name": "permute_1",
            "dims": [
               2,
               1
            ]
         }
      },
      {
         "class_name": "Activation",
         "config": {
            "trainable": true,
            "activation": "softmax",
            "name": "activation_97"
         }
      }
   ]
}